• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.5095-5111
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• 2019

A multi-rotor Unmanned Aerial Vehicle (UAV) system is developed to solve the manhole cover detection problem for the infrastructure maintenance in the suburbs of big city. The visible light sensor is employed to collect the ground image data and a series of image processing and machine learning methods are used to detect the manhole cover. First, the image enhancement technique is employed to improve the imaging effect of visible light camera. An imaging environment perception method is used to increase the computation robustness: the blind Image Quality Evaluation Metrics (IQEMs) are used to percept the imaging environment and select the images which have a high imaging definition for the following computation. Because of its excellent processing effect the adaptive Multiple Scale Retinex (MSR) is used to enhance the imaging quality. Second, the Single Shot multi-box Detector (SSD) method is utilized to identify the manhole cover for its stable processing effect. Third, the spatial coordinate of manhole cover is also estimated from the ground image. The practical applications have verified the outdoor environment adaptability of proposed algorithm and the target detection correctness of proposed system. The detection accuracy can reach 99% and the positioning accuracy is about 0.7 meters.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1919-1925
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• 2013

This paper proposes a background image extraction algorithm for traffic environment analysis in a school zone. The proposed algorithm solves the problems by level changes and stationary objects to be occurred frequently in traffic environment. For the former, it renews rapidly the background image toward the current frame using a fast Sima-Delta algorithm and for the latter, it excludes the stationary objects from the background image by detecting dynamic regions using a just previous frame and a background image averaged for a long time. The results of experiments show that the proposed algorithm adapts quickly itself to level change well, and reduces about 40~80% of SAD in background region in comparison with the conventional algorithms.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.525-528
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• 2009

Recently, image classification has been an important task in various fields. Generally, the performance of image classification is not good without the adjustment of image features. Therefore, it is desired that the way of automatic feature extraction. In this paper, we propose an image classification method which adjusts image features automatically. We assume that texture features are useful in image classification tasks because natural images are composed of several types of texture. Thus, the classification accuracy rate is improved by using distribution of texture features. We obtain texture features by calculating image features from a current considering pixel and its neighborhood pixels. And we calculate image features from distribution of textures feature. Those image features are adjusted to image classification tasks using Genetic Algorithm. We apply proposed method to classifying images into "head" or "non-head" and "male" or "female".

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.3_4
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• pp.138-148
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• 2003

Orthogonal Cross Cylinder mapping and segmentation based modeling methods have been implemented for constructing the image-based navigation system in this paper. The Orthogonal Cross Cylinder (OCC) is the object expressed by the intersection area that occurs when a cylinder is orthogonal with another. OCC mapping method eliminates the singularity effect caused in the environment maps and shows an almost even amount of area for the environment occupied by a single texel. A full-view image from a fixed point-of-view can be obtained with OCC mapping although it becomes difficult to express another image when the point-of-view has been changed. The OCC map is segmented according to the objects that form the environment and the depth value is set by the characteristics of the classified objects for the segmentation based modeling. This method can easily be implemented on an environment map and makes the environment modeling easier through extracting the depth value by the image segmentation. An environment navigation system with a full-view can be developed with these methods.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.452-469
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• 2017

The purpose of this study is to examine consumer's cognitive, affective and behavioral responses to in-store's servicescapes in restaurant by confirming the effect of service environment factors such as ambient, layout, interior and auditory on perceived service quality and image as cognitive responses, and the effect of perceived service quality and image on affective satisfaction as affective response, and the effect of affective satisfaction on repurchase intention as a behavioral responses. To this end, the research hypothesis was verified by structural equation model analysis using SPSS 21.0 and AMOS 20.0 statistical packages. The results of study are as follows. First, ambient environment, interior environment and auditory environment had significant influence on perceived service quality, but interior environment had no effect. Second, ambient environment and layout environment had a significant influence on the image, while the interior environment and auditory environment had no effect. Third, perceived service quality had a significant effect on emotional satisfaction, but had no effect on image and repurchase intention. Finally, image had a significant effect on emotional satisfaction and repurchase intention. Therefore, the marketing manager of the restaurant will need to plan and implement a service marketing strategy that will increase consumers' visit by enhance the perceived service quality level by improving ambient environment, layout environment and auditory environment, and increase image by improving ambient environment and layout environment.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.43-48
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• 2007

The medical imaging processing area with the development of high-speed Internet and the portable embedded system under prevailed ubiquitous environment is quick in research and development for the system that can search and decipher the patient's information in anytime and anywhere. Especially, the new applications demand utilizing scout images besides diagnostic purposes. With the development of ubiquitous system, medical image viewers are utilizing to the hospitals combined with PACS system and Web browser. This paper implements the mobile terminal based medical image viewing system that shows the potential in wireless environment.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.351-362
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• 2021

The purpose of this study is to examine the structural relationships among physical environment of coffee shops, brand image and revisit intention and to analyze the moderating effects of emotional responses. The results of this study are as follows: First, among physical environment, spatiality, cleanliness, comfortability and attractiveness had significant influences on brand image. Second, physical environment had significant influences on revisit intention. Third, brand image had significant influences on revisit intention. Fourth, emotional responses had moderating effects in the relationship between attractive factor and brand image. Finally, the conclusion section suggested strategic implications to induce physical environment, brand image, revisit intention and emotional responses based on the research findings.

• Journal of the Korean Society of Costume
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• v.61 no.5
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• pp.77-92
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• 2011

Public uniforms play an important role in creating the color and image of urban environment beyond the level of simple working clothes for unity and practicality. Hence this study aims to compare and analyze the color characteristics and images of the police officer, fire fighter, and street cleaner uniforms at home and abroad to guarantee the wearer's safety, increase convenience and agreeability, and give emotional satisfaction to citizens in harmony with urban environment color as public uniforms. For study methods, literature review investigated urban environment, color, and uniforms as public design. Empirical study extracted color data from the public worker uniforms of the world's top 20 cities selected by 'Newsweek' in 2010 and analyzed their colors, tones, and color images. The results of this study are as follows. The most common color for police uniforms were PB(dk) as the main color, PB(p) as the sub color, and Wh as the accent color. For fire fighter uniforms, PB(dkg) was the most common main color; GY(v), as the sub color; and ItGy, as the accent color. The most common color for street cleaner uniforms was YR(v) as the main color; GY(v), as the sub color; and mGy, as the accent color. As a result of analyzing color images of these uniforms, it was found that police uniforms commonly used a modern image; fire fighter uniforms commonly used a natural image and a cool casual image; and street cleaner uniforms commonly used a casual image. As examined above, the color of public uniforms suitable for urban environment and job characteristics is very important to establish the image of public institutions, as well as to create an urban image.

• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.1-8
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• 2005

The importance of software is getting high in development of the digital device (digital camcoder, digital camera, mp3 player, ....). And because the sire of software becomes larger and complicated, the necessity of software configuration management (to solves a software crisis) is increased. The general software configuration management system shows lack of the property and features of software development environment for image processing algorithm due to its wide range to be covered. Image processing algorithm development environment has properties like repetitive analysis and simulation using visual programming environment where, beside support of elementary development functions. component(or library) can be combined and tested interactively. Moreover, the method to look fast and effectively for component having similar function is required. In this paper, we present the system which supports the software configuration management method for a simulation tool and the property in the visual programming environment. And we relate our system to real simulation tool so as to check its ability as the software configuration management system for image processing algorithm development environment.

• Journal of the Korean Society of Costume
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• v.62 no.5
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• pp.44-58
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• 2012

The purpose of this research is to contemplate chronological changes of Korean actress facial image and fashion from 1960s to 1990s and to identify Korean women's ideal beauty reflected through the times. Adjectives describing representative actresses of each studied decade were collected from major newspapers and magazines. Korean women's ideal beauty was divided into 4 sub-types such as youthful, pure, sophisticate, and sexy images. As a result of analyzing actress facial image and fashion, youthful and pure beauties were found consistently over the studied periods. Representative characteristics of sophisticate and sexy beauties have been changed over the studied periods which were influenced by socio-cultural environment factors. The result of this research can provide meaningful sources for historical drama, celebrity marketing strategy planning, and personal image consulting.